Cita APA (7a ed.)
Van Laere, S., Muylle, K. M., Dupont, A. G., & Cornu, P. (2022). Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction. Journal of Medical Systems, 46(12), 1-11.
Cita Chicago Style (17a ed.)
Van Laere, Sven, Katoo M. Muylle, Alain G. Dupont, y Pieter Cornu. "Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction." Journal of Medical Systems 46, no. 12 (2022): 1-11.
Cita MLA (9a ed.)
Van Laere, Sven, et al. "Machine Learning Techniques Outperform Conventional Statistical Methods in the Prediction of High Risk QTc Prolongation Related to a Drug-Drug Interaction." Journal of Medical Systems, vol. 46, no. 12, 2022, pp. 1-11.
Precaución: Estas citas no son 100% exactas.